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Cost Efficient Task Offloading for Delay Sensitive Applications in Fog Computing System
Fog computing has emerged as a promising solution to process tasks and computations generated by end devices. It enhances the quality of service for...
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Optimization strategies for the bilevel network design problem with affine cost functions
Today artificial intelligence systems support efficient management in different fields of social activities. In particular, congestion control in...
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An intelligent fuzzy-based hybrid metaheuristic algorithm for analysis the strength, energy and cost optimization of building material in construction management
Optimization is one of the oldest sciences or practices. Since the beginning of mankind, people strived for perfection when it came to their...
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A Data-Driven Energy Management Strategy Based on Deep Reinforcement Learning for Microgrid Systems
Due to the interactions among schedulable equipment and the uncertainty of microgrid (MG) systems, it becomes increasingly difficult to establish...
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Internet of Things Driven Rule Based Management Model for Heterogeneous Environment
The development of heterogeneous systems in the environment of smart homes using the Internet of Things (IoT) has been accelerated by recent...
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A framework for low cost, ubiquitous and interactive smart refrigerator
Internet of Things (IoT) and Artificial Intelligence (AI)-enabled technologies are essential in develo** innovative environments and intelligent...
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Cost-sensitive learning for imbalanced medical data: a review
Integrating Machine Learning (ML) in medicine has unlocked many opportunities to harness complex medical data, enhancing patient outcomes and...
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Cost-aware sequential diagnostics
A simple search problem is studied in which a binary n -tuple is to be found in a list, by sequential bit comparisons with cost. The problem can be...
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An improved weighted mean of vectors algorithm for microgrid energy management considering demand response
The integration of demand response programs (DRPs) into the energy management (EM) system of microgrids (MGs) helps in improving the load...
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MO-FreeVM: multi-objective server release algorithm for cluster resource management
With the rise of 5G/6G and cloud computing, cluster management has become increasingly popular. Elastic cluster resources allow cloud clients to...
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Cost Optimization Technology of Construction Engineering Based on Genetic Algorithm
In recent years, with the rapid development of computer information engineering technology and the continuous improvement of the management level of...
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Dynamic Resource Management for Machine Learning Pipeline Workloads
The recent success of deep learning applications is driven by the computing power of GPUs. However, as the workflow of deep learning becomes...
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Cdascaler: a cost-effective dynamic autoscaling approach for containerized microservices
Microservices are containerized, loosely coupled, interactive smaller units of the application that can be deployed, reused, and maintained...
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A Cost-Efficient Workflow as a Service Broker Using On-demand and Spot Instances
In recent times, cloud computing has become a popular platform for running various applications, with workflows being one of the most common types....
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A DRL-based online VM scheduler for cost optimization in cloud brokers
The virtual machine (VM) scheduling problem in cloud brokers that support cloud bursting is fraught with uncertainty due to the on-demand nature of...
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Cost-efficient Workflow as a Service using Containers
Workflows are special applications used to solve complex scientific problems. The emerging Workflow as a Service (WaaS) model provides scientists...
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Cost optimization in cloud environment based on task deadline
The popularity of cloud and fog services has raised the number of users exponentially. Main advantage of Cloud/fog infrastructure and services are...
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Cost and response time optimization of edge architectures
The cloud service provider market has recently expanded its offerings by providing edge as a service. This involves offering resources equivalent to...
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Hybrid deep learning cost evaluation using CNN with ANN for the plastic injection industry
The plastic injection moulding industry has been growing and expanding rapidly. Cost evaluation is important to business operations and numerous...
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An integrated MCDM approach for mobile app cost predictor based on DEMATEL extended with choquet integral
An integral part of develo** any mobile app is determining how much time and money will be needed to complete the task. Inaccuracy and imprecision...
